53 citations · 98 across the 8 of their papers we have counts for
8 papers
Stranding Risk for Underactuated Vessels in Complex Ocean Currents: Analysis and Controllers
Andreas Doering, Marius Wiggert, Hanna Krasowski +3
Low-propulsion vessels can take advantage of powerful ocean currents to navigate towards a destination. Recent results demonstrated that vessels can reach their destination with hi…
A Gated Attention Transformer for Multi-Person Pose Tracking
Andreas Doering, Juergen Gall
Multi-person pose tracking is an important element for many applications and requires to estimate the human poses of all persons in a video and to track them over time. The associa…
Keypoint Message Passing for Video-based Person Re-Identification
Di Chen, Andreas Doering, Shanshan Zhang +3
Video-based person re-identification (re-ID) is an important technique in visual surveillance systems which aims to match video snippets of people captured by different cameras. Ex…
PoseTrackReID: Dataset Description
Andreas Doering, Di Chen, Shanshan Zhang +2
Current datasets for video-based person re-identification (re-ID) do not include structural knowledge in form of human pose annotations for the persons of interest. Nonetheless, po…
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Umer Rafi, Andreas Doering, Bastian Leibe +1
Video annotation is expensive and time consuming. Consequently, datasets for multi-person pose estimation and tracking are less diverse and have more sparse annotations compared to…
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
Rania Briq, Andreas Doering, Juergen Gall
We propose a joint model of human joint detection and association for 2D multi-person pose estimation (MPPE). The approach unifies training of joint detection and association witho…
Joint Flow: Temporal Flow Fields for Multi Person Tracking
Andreas Doering, Umar Iqbal, Juergen Gall
In this work we propose an online multi person pose tracking approach which works on two consecutive frames and . The general formulation of our temporal network all…
A Dual-Source Approach for 3D Human Pose Estimation from a Single Image
Umar Iqbal, Andreas Doering, Hashim Yasin +3
In this work we address the challenging problem of 3D human pose estimation from single images. Recent approaches learn deep neural networks to regress 3D pose directly from images…